GitHub GitHub Copilot Practice Exams
Last updated on Oct 21,2026- Exam Code: GitHub Copilot
- Exam Name: GitHub Copilot Certification Exam
- Certification Provider: GitHub
- Latest update: Oct 21,2026
Question #61
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- A . The API can generate detailed reports on code quality improvements made by GitHub Copilot.
- B . The API can track the acceptance rate of code suggestions accepted and used in the organization.
- C . The API can refactor your code to improve productivity.
- D . The API can provide feedback on coding style and standards compliance.
- E . The API can provide Copilot Chat specific suggestions acceptance metrics.
Correct Answer: B, E
B, E
Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.
Reference: GitHub Copilot usage metrics API documentation.
B, E
Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.
Reference: GitHub Copilot usage metrics API documentation.
Question #62
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
- A . Fairness
- B . Transparency
- C . Inclusiveness
- D . Accountability
Correct Answer: B
B
Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrives at its decisions and suggestions.
Reference: Microsoft’s AI principles and ethical guidelines.
B
Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrives at its decisions and suggestions.
Reference: Microsoft’s AI principles and ethical guidelines.
Question #63
Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?
- A . A complete replacement for developers generating code.
- B . A productivity tool that provides suggestions, but relying on human judgment.
- C . A solution for software development, requiring no additional input or oversight.
- D . A tool solely designed for debugging and error correction.
Correct Answer: B
B
Explanation:
GitHub Copilot Chat is designed to be a productivity enhancer, not a replacement for human developers. It provides suggestions and assists with coding tasks, but the final decision and validation always rest with the developer. Copilot Chat is meant to augment the developer’s workflow, making it faster and more efficient, but it does not remove the need for human oversight and judgment.
Reference: GitHub Copilot official documentation on the tool’s purpose and usage.
B
Explanation:
GitHub Copilot Chat is designed to be a productivity enhancer, not a replacement for human developers. It provides suggestions and assists with coding tasks, but the final decision and validation always rest with the developer. Copilot Chat is meant to augment the developer’s workflow, making it faster and more efficient, but it does not remove the need for human oversight and judgment.
Reference: GitHub Copilot official documentation on the tool’s purpose and usage.
Question #64
How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?
- A . By automatically generating detailed requirements documents.
- B . By providing templates and code snippets that help in documenting requirements.
- C . By identifying and fixing potential requirement conflicts when using /help.
- D . By managing stakeholder communication and meetings.
Correct Answer: B
B
Explanation:
GitHub Copilot can assist during the requirements analysis phase by providing templates and code snippets that aid in documenting requirements. This helps streamline the process of capturing and organizing project requirements.
Reference: GitHub Copilot documentation on SDLC assistance.
B
Explanation:
GitHub Copilot can assist during the requirements analysis phase by providing templates and code snippets that aid in documenting requirements. This helps streamline the process of capturing and organizing project requirements.
Reference: GitHub Copilot documentation on SDLC assistance.
Question #65
GitHub Copilot in the Command Line Interface (CLI) can be used to configure the following settings:
(Each correct answer presents part of the solution. Choose two.)
- A . The default execution confirmation
- B . Usage analytics
- C . The default editor
- D . GitHub CLI subcommands
Correct Answer: A, B
A, B
Explanation:
GitHub Copilot in the CLI allows configuration of settings such as the default execution confirmation and usage analytics. These settings help tailor the CLI experience to the user’s preferences.
Reference: GitHub Copilot CLI configuration documentation.
A, B
Explanation:
GitHub Copilot in the CLI allows configuration of settings such as the default execution confirmation and usage analytics. These settings help tailor the CLI experience to the user’s preferences.
Reference: GitHub Copilot CLI configuration documentation.
Question #66
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)
- A . Clearly defining the problem or task
- B . Including personal information in the code comments
- C . Using meaningful variable names
- D . Providing examples of desired output
- E . Use a .gitignore file to exclude irrelevant files
Correct Answer: A, C, D
A, C, D
Explanation:
The quality of Copilot’s suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.
Reference: GitHub Copilot prompt engineering best practices.
A, C, D
Explanation:
The quality of Copilot’s suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.
Reference: GitHub Copilot prompt engineering best practices.